Instructions to use GraydientPlatformAPI/eldgardki2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/eldgardki2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/eldgardki2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder_2/model.safetensors from GraydientPlatformAPI/eldgardki2: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/GraydientPlatformAPI/eldgardki2/resolve/main/text_encoder_2/model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/eldgardki2/text_encoder_2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GraydientPlatformAPI/eldgardki2/resolve/main/text_encoder_2/model.safetensors
1.39 GB
- Xet hash:
- 280b64458c49e7d39fa77e566a4546f97c6049b9d637a6da9695f927bd63a337
- Size of remote file:
- 1.39 GB
- SHA256:
- 556cb59e7d18d73bba1a3aaa3221db6bb654b7589bdf725cc5693ca3404b7ac9
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